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Identification of a novel endocytosis‑associated gene signature for prognostic prediction in lung adenocarcinoma

  • Authors:
    • Yixin Zhang
    • Siwen Liang
    • Yan Zhang
    • Minghui Liu
    • Kai Zhang
  • View Affiliations / Copyright

    Affiliations: Department of Blood Transfusion, Tianjin Hospital, Tianjin 300211, P.R. China, School of Optometry & Ophthalmology, Tianjin Medical University, Tianjin 300070, P.R. China, Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
    Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 511
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    Published online on: October 12, 2023
       https://doi.org/10.3892/ol.2023.14098
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Abstract

Lung cancer is one of the most common malignant solid tumors and the leading cause of cancer‑associated mortality worldwide. Endocytosis is an essential physiological activity for cells to maintain membrane homeostasis, and has been reported to serve an important role in tumorigenesis and progression. In the present study, the aim was to construct a prognostic prediction model of endocytosis‑associated genes for patients with lung adenocarcinoma (LUAD). The endocytosis‑associated gene signature was established using Lasso Cox regression analysis using the training set of the LUAD cohort from The Cancer Genome Atlas (TCGA) database, and verified using two datasets from the Gene Expression Omnibus (GEO) database. Kaplan‑Meier survival curves were used to evaluate the effectiveness of the prognostic evaluation of patients with LUAD. Differentially expressed genes were screened in the tumor tissue of patients compared with paired paracancerous tissues. A series of candidate genes associated to the prognosis of patients with LUAD was obtained using univariate Cox's regression analysis. Using the Lasso Cox regression analysis, an appropriate risk model with 18 endocytosis‑associated genes was established. A high‑risk score was positively correlated with a higher tumor stage and pathologic grade. Patients with LUAD and high‑risk scores had shorter survival times, increased intratumor heterogeneities and immune cell infiltration into tumor tissues, compared with those patients with LUAD and low‑risk scores. The endocytosis inhibitor chloroquine could repress proliferation and increase the apoptosis of lung cancer cells. In summary, a novel endocytosis‑associated gene signature was constructed using TCGA and GEO datasets. Patients with LUAD and high‑risk scores, as calculated by the signature, had a poor prognosis and short survival time.
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Copy and paste a formatted citation
Spandidos Publications style
Zhang Y, Liang S, Zhang Y, Liu M and Zhang K: Identification of a novel endocytosis‑associated gene signature for prognostic prediction in lung adenocarcinoma. Oncol Lett 26: 511, 2023.
APA
Zhang, Y., Liang, S., Zhang, Y., Liu, M., & Zhang, K. (2023). Identification of a novel endocytosis‑associated gene signature for prognostic prediction in lung adenocarcinoma. Oncology Letters, 26, 511. https://doi.org/10.3892/ol.2023.14098
MLA
Zhang, Y., Liang, S., Zhang, Y., Liu, M., Zhang, K."Identification of a novel endocytosis‑associated gene signature for prognostic prediction in lung adenocarcinoma". Oncology Letters 26.6 (2023): 511.
Chicago
Zhang, Y., Liang, S., Zhang, Y., Liu, M., Zhang, K."Identification of a novel endocytosis‑associated gene signature for prognostic prediction in lung adenocarcinoma". Oncology Letters 26, no. 6 (2023): 511. https://doi.org/10.3892/ol.2023.14098
Copy and paste a formatted citation
x
Spandidos Publications style
Zhang Y, Liang S, Zhang Y, Liu M and Zhang K: Identification of a novel endocytosis‑associated gene signature for prognostic prediction in lung adenocarcinoma. Oncol Lett 26: 511, 2023.
APA
Zhang, Y., Liang, S., Zhang, Y., Liu, M., & Zhang, K. (2023). Identification of a novel endocytosis‑associated gene signature for prognostic prediction in lung adenocarcinoma. Oncology Letters, 26, 511. https://doi.org/10.3892/ol.2023.14098
MLA
Zhang, Y., Liang, S., Zhang, Y., Liu, M., Zhang, K."Identification of a novel endocytosis‑associated gene signature for prognostic prediction in lung adenocarcinoma". Oncology Letters 26.6 (2023): 511.
Chicago
Zhang, Y., Liang, S., Zhang, Y., Liu, M., Zhang, K."Identification of a novel endocytosis‑associated gene signature for prognostic prediction in lung adenocarcinoma". Oncology Letters 26, no. 6 (2023): 511. https://doi.org/10.3892/ol.2023.14098
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